DEALING WITH SENSOR ERRORS IN SCAN MATCHING FOR SIMULTANEOUS LOCALIZATION AND MAPPING

Abstract

The paper presents Potential-Based Scan Matching (PSCM) method used for simultaneous localization and mapping of mobile robot in unknown environment. The method is based on matching two proximity sensor scans from different robot locations. The resistance of the method against errors in sensor readings is investigated using both general sensor error model and error model for LMS 200 laser scanner. The method proved to be highly resistant against the noise with respect to the localization issue, the mapping is consistent for the noise levels exceeding the commonly used instruments.